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Scan 3XS / Puget / BIZON (1× card)RTX PRO GPU SystemsDeskside tier · £6k – £40k

RTX PRO 6000 Workstation

One card, 96 GB, 1.79 TB/s: gpt-oss-120b at ~150 tok/s and QLoRA fine-tuning to 120B — the production single-GPU box.

Price

built from ~£16k · reference £28k inc VAT

Card £11,333 inc VAT (Scan) — +55% on MSRP in the GDDR7 shortage · Scan 3XS reference build £23,333 ex VAT

verified 2026-07 · supply & lease options in every proposal

NVIDIA RTX PRO 6000 Blackwell Workstation Edition graphics card, three-quarter viewScan 3XS / Puget / BIZON (1× card)
96 GB
GDDR7 ECC VRAM

largest of any PCIe card

1.79 TB/s
Memory bandwidth

6.5× a DGX Spark

~150 tok/s
gpt-oss-120b

single-stream, verified

600 W
Card power

Max-Q variant: 300 W

The machine

The RTX PRO 6000 Blackwell is the definitive self-hosted inference card of 2026: 96 GB of ECC GDDR7 at 1.79 TB/s serves gpt-oss-120b whole at ~150 tok/s single-stream — or thousands of tokens per second aggregate under vLLM — and QLoRA fine-tunes everything up to 120B on the one card. No successor exists or is announced; this is the card for the next two years.

UK-built systems come from Scan's 3XS line (reference build £23,333 ex VAT with a 96-core Threadripper PRO; leaner platforms bring a 1× build to ~£16k). The card alone is £11,332.99 inc VAT — up 55% on launch MSRP in the GDDR7 squeeze, so quotes carry validity windows. The 300 W Max-Q variant gives up ~13% compute for half the heat and near-identical single-stream speed.

vs its siblings: The workhorse recommendation for most production self-hosting engagements.

Memory, to scale

96 GB model-visible · bandwidth is the speed limit

GDDR7 ECC VRAM

96 GB · 1.79 TB/s

GDDR7

For scale

DGX Spark — 128 GB @ 273 GB/s

Mac Studio M3 Ultra — 512 GB @ 819 GB/s

DGX Station GB300 — 748 GB coherent

Scales 2×/4× in one chassis (PCIe 5.0 tensor-parallel — no NVLink on this card).

Capability

What it actually runs

Declared from research and benchmarks, not computed marketing — tokens-per-second figures are cited where a real measurement exists.

  • gpt-oss-120bMXFP4 nativewith headroom~148–163 tok/s single · full 131k context
  • Qwen3.5 122BQ4with headroom~79–101 tok/s (verified)
  • Nemotron 3 SuperNVFP4with headroombuilt for this silicon
  • Devstral 2Q4with headroomcoding-agent backend at speed
  • Llama-70B-class denseFP8/Q4fits~25–31 tok/s single-stream
  • DeepSeek V4 Flashnative FP4/FP82+ units linkedneeds the 2× build (192 GB)
Specification

The full sheet

GPU

Card
RTX PRO 6000 Blackwell Workstation Edition — GB202, 24,064 CUDA / 752 Tensor cores
Memory
96 GB GDDR7 ECC, 512-bit, 1,792 GB/s
Variants
600 W (dual-flow-through) · 300 W Max-Q (blower, for stacking) · passive Server Edition

Platform (Scan 3XS reference)

CPU
AMD Threadripper PRO (16–96 core to spec)
RAM
256 GB DDR5 ECC typical
Power
1,200 W PSU — runs on a standard UK 13 A circuit

Serving & tuning

Stack
vLLM · SGLang · TensorRT-LLM · llama.cpp — first-class CUDA
Fine-tuning
QLoRA to 120B on one card (~65 GB); LoRA 70B needs 2×

Where it shines

  • The definitive inference card — nothing newer is even announced
  • Production serving stack: vLLM/SGLang with real concurrency (125+ chat users on 2×)
  • QLoRA fine-tuning to 120B on one card — the whole business tier
  • UK-built, UK-warrantied systems from Scan 3XS

The trade-offs

  • Card price up 55% since launch — the shortage is priced in
  • 600 W card needs a serious PSU and cooling plan (Max-Q halves it)
  • No NVLink — multi-GPU scales over PCIe only
  • 96 GB caps single-card work below the 200 GB-class frontier weights

Buy this box for

Department-scale production serving of 120B-class modelsFine-tuning custom models on your own data (QLoRA to 120B)The serving tier behind a governed agent fleet
The platform

Understanding RTX PRO GPU Systems

NVIDIA RTX PRO 6000 Blackwell · 96 GB GDDR7

Where unified-memory boxes optimise for capacity, the RTX PRO 6000 Blackwell optimises for speed: 1.79 TB/s of memory bandwidth is 6–7× a DGX Spark. A single card serves gpt-oss-120b at ~150 tok/s for one user — or thousands of tokens per second aggregate under vLLM batching. This is the silicon for department-scale production serving on 120B-class models, and the pragmatic fine-tuning platform: QLoRA up to 120B fits on one card, with full CUDA, vLLM, SGLang and TensorRT-LLM support.

Two cards give 192 GB — notably, enough to serve DeepSeek V4 Flash's native FP4/FP8 checkpoint, the most capable open model that fits a workstation. Four give 384 GB; beyond that the passive Server Edition scales to 8 GPUs in a rack chassis for colocation. UK-built systems come from Scan's 3XS line with local warranty and support.

Buyers should know the market context: the GDDR7 shortage pushed the card from its $8,565 launch MSRP to ~$13,250 (+55%) by mid-2026 — about £11,300 inc VAT in the UK — and no successor exists or is announced. The Max-Q variant (300 W) sacrifices ~13% compute for half the power and heat, and since LLM decode is bandwidth-bound, its single-stream speed is nearly identical — it is the card of choice for dense multi-GPU builds.

Sources & verification

Specifications and prices verified 2026-07 against the sources below. The memory shortage is repricing this market monthly — we re-verify at quote.

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